There is an essential qualification to the printed hypothesis. If compactly generated group means merely generated algebraically by a compact subset, the claim is false. In the additive group with its usual topology,
is compact, being a convergent sequence together with its limit, and generates every rational number since any integer denominator divides some factorial. The group is metrizable. However, an invariant Radon measure has a common mass on each singleton. If , the compact set has infinite measure, contradicting finiteness on compact sets. If , countable additivity makes the entire countable group have measure zero. Thus it has no nonzero Haar measure. This proves that compact generation does not imply local compactness and disproves the literal unrestricted statement.
The intended existence statement is valid when local compactness is included, either explicitly or in the convention that the group has a compact generating neighbourhood. Here is a construction for a locally compact, compactly generated, metrizable Hausdorff group. No invariant measure is assumed during its construction.
Enlarge a compact generating set to a symmetric compact neighbourhood of the identity element . Then , and each is compact. Moreover lies in the interior of , since multiplication by the open neighbourhood of the identity element contained in supplies an open neighbourhood of every point of . This gives a compact exhaustion. Every compact metric space has a countable dense subset: take finite -nets and unite them. Their union over this exhaustion is dense in , so the metric space is separable and has a countable open basis.
We use nonnegative compactly supported continuous functions and cutoffs equal to one on specified compact sets. Their existence is covered by the source's permission concerning auxiliary functions. Fix a nonzero such function . For nonzero define the weighted covering quantity
The quantities are finite: an open set where is bounded below has translates covering the compact support of , so finitely many sufficiently large weighted translates dominate it. The denominator is positive, since evaluation at a point where gives .
Each is nonnegative, homogeneous, monotone, left invariant and subadditive; these follow respectively by rescaling, comparing or combining covers, and translating their centers. Also . Composing a cover of by translates of with a cover of by translates of gives
This is a bound independent of . On functions supported in a fixed compact set , choose a cutoff on . Monotonicity and subadditivity imply
Thus the covering functionals are uniformly Lipschitz on each fixed support.
Choose a nonzero with support in an neighbourhood of the identity element shrinking to . The nonnegative functions supported in each compact member of the exhaustion form a separable metric cone in the supremum norm, as a subspace of continuous functions on that compact metric space. Select a countable dense family from each cone and include . The uniform scalar bounds permit a diagonal subsequence along which converges on their countable union. The displayed Lipschitz estimate extends convergence to every nonnegative member of . Denote the limit by . It inherits positivity, homogeneity, monotonicity, subadditivity, invariance and .
The crucial remaining step is additivity. Fix with combined support , and fix a compact neighbourhood of the identity element . Choose a cutoff equal to one on . For , put
setting the ratio to zero off the denominator's nonzero set. These ratios are continuous: on a neighbourhood of the supports, and off those supports the numerator vanishes. Their sum is at most one. Compactness and continuity give, for each , an neighbourhood of the identity element small enough that each oscillates by at most on any translate of meeting . To justify this uniform choice, such translates lie inside the fixed compact set when ; continuity of and a finite cover of that compact set give a single small right-increment neighbourhood, then choose inside it.
If has support in and , discard translates not meeting when covering . Let be the supremum of on the remaining translate's support. Then , and comparing both suprema with the ratios at one common point gives . Taking covering infima yields
Along the subsequence this holds eventually, since its supports shrink. Pass to , then let and ; the uniform bound on gives . Subadditivity gives the reverse inequality. Thus is additive.
Extend linearly to real functions using positive and negative parts, and then complex-linearly to . The compact-support bounds above make it a positive, locally bounded functional. The Riesz representation on compactly supported continuous functions gives a Radon measure with . Translation invariance of and uniqueness in that representation give for Borel . It is nonzero because , and finite on compact sets because a cutoff dominating their indicators has finite integral. Finally every nonempty open set has positive measure: otherwise its translates cover the compact support of , a finite subcover would give that support measure zero, contradicting . Hence is a Haar measure under the stated local-compactness qualification. This is Haar measure from normalized covering functionals, with the limiting additivity proved explicitly.
Write the two formal pseudodifferential operators in normal order as
where and . The formal pseudodifferential composition rule gives
Thus whenever is not identically zero, in particular when both leading coefficients are nowhere zero. In general the rigorous statement over the specified coefficient algebra is .
The leading scalar coefficients commute. Subtracting the reversed composition also cancels the terms involving , leaving
Therefore the order filtration of formal pseudodifferential operators gives
with equality precisely when the displayed coefficient is not identically zero. The bound can be strict: constant-coefficient powers of commute, giving the zero operator, whose order can be assigned .
There is also a genuine qualification to product-order addition in . Choose nonzero smooth functions with disjoint compact supports and take . Each has order zero, but their product is zero. Nonzero coefficients as elements of this algebra need not have a nonzero product. Thus an unqualified assertion of exact product order requires an additional leading-symbol hypothesis.
Put , , and take a compactly supported Lighthill stress tensor. The isotropic term in that tensor is : the Kronecker delta is implicit in the printed shorthand. Convolving the Lighthill acoustic analogy with the retarded acoustic Green function and integrating twice by parts in the source coordinates gives
The boundary terms vanish because of compact support. For source size , the acoustic compact-source approximation requires . At , we may therefore replace the denominator by and the retarded argument by in the leading source integral. Define . In the radiation region , the leading two spatial derivatives act on the retarded time rather than on or :
Thus the leading acoustic quadrupole density is
For the compact acoustic quadrupole Mach-number scaling, let be the source fluctuation speed, , and use the advective source time . With , one has and . Consequently
The fourth power refers to the radiation coefficient with geometric spreading separated. It assumes that the source frequency scales as ; an independently imposed frequency or an independently strong thermal source would change that Mach number estimate.
Let , using spatial indices . Stress-energy conservation, symmetry of the stress-energy tensor and integration by parts give
and a second derivative gives
All boundary terms vanish by compact support. This proves the stress-energy quadrupole identity,
The support is understood to remain bounded over the time interval used for differentiating these integrals.
For the radiation calculation set , write and use the trace-reversed metric perturbation in Lorenz gauge in linearized gravity. With the curvature and field-equation signs in this paper, the linear equation is
The retarded solution with no incoming radiation is consequently
Let be the distance from the source's centre of mass, and let be its size. In the radiation zone, . The leading multipole expansion additionally assumes slow internal motion, or small compared with the radiation wavelength. These assumptions allow in the denominator and the common retarded time at leading quadrupole order. Thus
Define the trace-free mass quadrupole moment by
To make the requested normalization explicit, write the trace-free spatial metric coefficient as . Trace reversal only adds a spatial trace, so the preceding equations give the far-zone quadrupole strain coefficient
The supplied scan does not contain the referenced perturbation handout. The definition above fixes the normalization of directly. If denotes the physical transverse-traceless tensor in that handout, the right-hand side is also to be transversely projected for the observation direction. Trace-free alone does not imply transverse. With , put
The transverse-traceless projector gives and the physical spatial strain is . This also states the result without relying on omitted handout notation. The retarded construction and direction-dependent transverse projection are described in Carroll's general relativity lectures, with the appropriate changes of metric-sign convention.
For the equal-mass binary star, its centre of mass is at the origin and the separation is . The gravitational force on either star is , while its centripetal force is . Hence
At leading Newtonian order, is the sum of the two point-mass densities. Its moments are
so the trace-free mass quadrupole moment is
The Newtonian bound system is treated in the usual leading weak-field quadrupole approximation; an exactly conserved effective source also includes the interaction stresses. Accelerated point-mass dust alone would not satisfy the conservation hypothesis.
Differentiating twice and evaluating at gives
For an observer on the axis this is already transverse and traceless. Its alternating plus polarization and cross polarization have a phase difference of , giving circularly polarized gravitational radiation at twice the orbital frequency. The amplitude decays as , as expected for outgoing radiation in three spatial dimensions.
More generally take the line of sight in the plane at inclination to the orbital angular-momentum axis. In the transverse basis , , define . Projection gives the physical gravitational wave polarizations
Thus a generic view is elliptically polarized, the face-on view is circularly polarized and the edge-on view is linearly polarized. This is circular-binary quadrupole radiation; an overall sign or transverse-axis rotation only changes the polarization convention.
There is a definitional qualification. If a compactly generated group means a group algebraically generated by a compact subset, the assertion as printed is false. In the usual topology on the additive group , the set
is compact and generates : every positive integer denominator divides some factorial. The group is metrizable, but it has no nonzero Haar measure finite on compact sets. Indeed, translation invariance gives a common singleton mass . If , the infinite compact set has infinite mass; if , countable additivity gives zero mass to the whole countable group. This proves that compact generation does not imply local compactness or existence of Haar measure.
If the convention includes a compact generating neighbourhood, local compactness is already part of the hypothesis. More explicitly, the standard corrected result is every locally compact, compactly generated metrizable group has Haar measure. Here is a construction, rather than an invocation of that existence theorem.
Fix a nonzero in the space of continuous compactly supported functions . For nonzero in and in , define the covering number and its normalized functional by
These numbers are finite: translates of the region where cover the compact support of , and a finite subcover, multiplied by a sufficiently large coefficient, dominates . They are positive when , since every cover has total coefficient at least . Composition of covers gives . Thus, with ,
The functionals are homogeneous, monotone, subadditive and exactly invariant under left translation; the last property follows by relabelling the covering translates.
The key step in Haar measure from normalized covering functionals is asymptotic additivity as shrinks to . Given , put and choose with on both supports. For , set , extended by zero where the denominator vanishes. These are continuous compactly supported functions and . For any , a sufficiently small identity neighbourhood ensures
Take and any cover , where . Since , it follows that
Adding and then taking the infimum over the cover of gives
First make small, then small, and finally the support of small enough for the oscillation bound. The additivity defect therefore tends to zero.
Compact generation gives a countable compact cover by finite products of a compact symmetric generating set. Local compactness upgrades this to a compact exhaustion with interiors covering . Metrizability supplies a countable identity-neighbourhood base and a countable family of nonnegative functions dense in the uniform norm on each fixed compact support; this is the countable family whose existence may be assumed. Choose nonzero with supports shrinking to . The uniform bounds and a diagonal subsequence give convergence on that countable family. To extend convergence to every nonnegative supported in a fixed compact , choose a cutoff on . Monotonicity and subadditivity give
for supported in . Uniform approximation therefore makes the chosen subsequence Cauchy on every such .
Let be its limit. Asymptotic additivity, homogeneity and invariance give an additive positive invariant functional on the nonnegative cone, with . Extend it by differences to real and then complex linearly. It is bounded on each fixed compact support by the cutoff bound. The Riesz representation on compactly supported continuous functions consequently produces a positive Radon measure with . Invariance of and uniqueness of that representation imply . The measure is nonzero because , and finite on compact sets by the cutoff estimate. Moreover, for any nonzero , composition of covers gives , so every nonempty open set has positive measure. Hence
This completes the intended construction under the convention supplying local compactness, while the rational example settles the weaker literal interpretation.
Fix Haar measure and use . A positive-definite function satisfies for every finite choice of points and coefficients. The Bochner theorem states that a continuous positive-definite function on a locally compact Hausdorff Abelian group has a unique representation
where is a Radon measure. Conversely, any finite positive Radon measure on the Pontryagin dual group has a continuous positive-definite inverse transform. The sign convention here is the one compatible with the displayed Fourier transform.
First note that the dual is a locally compact Hausdorff topological group. Its group operations are continuous in the compact-open topology proved in question 3. For local compactness, adjoin the zero functional to the character space of an algebra of . All its elements lie in the closed unit ball of , and the equations define a closed subset in the weak-star topology. The Banach-Alaoglu theorem makes that subset compact Hausdorff. Removing the zero functional gives an open, hence locally compact, subspace. This provides the setting for constructing the measure on the dual, without assuming a Fourier inversion theorem.
Let and let be the finite sums of convolution squares , . Each such square is continuous with compact support, and is positive-definite because
Its transform is , so every has . Also : convolution of two squares is , and finite sums distribute. Insert the Bochner representation of into and use the Fubini theorem to obtain
The representing measure on the right is finite and positive. Uniqueness in the Bochner theorem and commutativity now give the Bochner consistency identity for convolution squares
For every compact there is with throughout . Indeed, at any choose , where is a nonzero member of . Then , and continuity supplies a neighbourhood where it stays nonzero. A finite subcover of and the sum of the corresponding squares give such a .
For , choose positive in transform on its support and define
The quotient is set to zero away from the support; its denominator is bounded away from zero there. If is another choice, the consistency identity, multiplied by on that compact support, shows that the integral is unchanged. Choosing one for a union of supports proves linearity; positivity follows from positivity of . On each fixed compact support it is bounded by times the uniform norm. Moreover, for every and , choosing positive on the support of gives
A nonzero square has ; a suitable nonnegative compactly supported consequently makes this last expression positive. Thus is nonzero.
To prove translation invariance, fix and modulate by . This again belongs to , since modulation takes to . Direct calculation and Bochner uniqueness give
Hence, for , using as the denominator function and changing variables gives . The Riesz representation on compactly supported continuous functions now produces a nonzero translation-invariant positive Radon measure on the dual. It is finite on compact sets, so it is Haar measure. This is the compatible dual Haar measure, denoted .
The identity for says, by uniqueness of Radon measures,
Thus and the Bochner representation immediately proves
It also proves the formula for all finite complex linear combinations of these functions. The measure scale is fixed by this identity: at , a nonzero square gives .
A wider inversion class is with . To prove this extension, choose nonnegative with integral one and support in a small identity neighbourhood , and put . These functions form an approximate identity: they are nonnegative, have integral one and support in . Also , and uniformly on compact subsets of the dual. For this uniform convergence use equicontinuity of compact families of characters: evaluation is jointly continuous, as follows from the translation quotient in question 3, and a finite cover of a compact family gives uniform control near the identity.
Convolving the already established inversion formula for with , the Fubini theorem gives
This is justified by . Compact-set uniform convergence and an integrable-tail split imply
Explicitly, first choose a compact set outside which is small, use the bound on that tail, and use uniform convergence on the compact remainder. This argument works for neighbourhood-indexed nets, without assuming metrizability. Consequently converges uniformly to the continuous inverse integral. On the other hand, translation continuity in Lp on a locally compact group gives in ; testing these two limits against shows they agree almost everywhere. At every continuity point of the chosen representative of , the shrinking-support approximate identity also converges pointwise to . We obtain Fourier inversion on a locally compact abelian group:
valid everywhere for continuous with integrable transform, and in general as equality with a continuous representative almost everywhere. This class includes all convolution squares above, and their linear span.
Finally, for arbitrary , apply the inversion formula at zero to :
Thus the integral Fourier transform is linear and norm-preserving on . That space is dense in , so for choose with in and define as the limit of . The norm identity makes this limit exist and independent of the approximating sequence, and preserves linearity. This proves the Plancherel theorem for locally compact abelian groups in the requested form:
On , choose the approximating sequence to converge in both norms; uniform convergence of the integral transforms and their convergence show that this extension agrees almost everywhere with the original transform. For general functions the extension is defined by norm limits, not by presuming that the pointwise integral exists.
The integral identity requires compactness of , compact support of , or suitable conditions eliminating flux at infinity. The printed question does not state such a hypothesis. We prove the Riemannian divergence theorem for a compact manifold, and more generally for a compactly supported smooth vector field on an oriented Riemannian manifold with boundary.
Write for the inclusion. Give the outward-normal-first boundary orientation, and let be the outward unit normal vector. The Riemannian volume form of the induced Riemannian metric is
Indeed, if is a positively oriented orthonormal basis tangent to the boundary, is a positively oriented orthonormal basis in . Both sides therefore evaluate to one on the boundary basis.
At a boundary point decompose , where is tangent to . Evaluating on tangent vectors, the term with vanishes: all arguments of the alternating volume form then lie in the -dimensional boundary tangent space. Thus the interior product of a differential form satisfies
The general Stokes theorem for an oriented manifold with boundary states for any smooth differential form of degree with compact support; compactness of makes the support condition automatic. Applying it to and using the defining equation for the divergence of a Riemannian vector field proves
For a concrete failure without the extra hypothesis, take with Riemannian metric and . The divergence of a Riemannian vector field is , so
because vanishes at the only boundary point. Both integrals are finite. The missing is the limiting flux at infinity, so mere integrability of the divergence cannot repair the unrestricted assertion.
For a kernel for density estimation and smoothing bandwidth , the kernel density estimator is
We use the convention that a kernel of order ell has
The kernel for density estimation is integrable and can have negative values; requiring nonnegativity would prevent its second moment from vanishing. Some conventions additionally require a nonzero moment of order . The construction below covers that convention too.
The Legendre polynomial kernel construction uses the polynomial reproducing kernel at zero:
Every polynomial of degree at most has the expansion , since the displayed Legendre polynomials have those successive degrees and form an orthonormal basis of this polynomial space. Therefore
Taking proves all the required moment identities. Boundedness and compact support give every absolute moment and a finite L2 norm. If a nonzero moment of order is required, replace this kernel by
The lower moments are unchanged by orthogonality. If , then because otherwise would lie in the polynomial space of degree at most . Evaluating its full Legendre expansion at zero gives , so .
For instance, a simple kernel satisfying the moment conditions needed for three derivatives is
Its negative wings cancel its central contribution to the second moment.
Figure 1.
Signed kernel and cancellation of its second moment
. Details.
Here is the third-order pointwise kernel error bound. Write and , and use any square-integrable kernel with unit integral, first two moments zero and . A change of variables gives
By the Taylor theorem with Lagrange remainder,
The moment cancellations consequently give the uniform bias of a kernel density estimator bound
For the variance, independence and another change of variables give
The triangle inequality and Cauchy-Schwarz inequality now yield
Balancing against gives
The constant is independent of both and . The original PDF has exponent ; the converted TeX's is a transcription error.
To obtain the final parametric rate, we choose a flat-top kernel for density estimation. This kernel also satisfies all the preceding moment conditions, so a single kernel works for both constructions, with different bandwidth choices. With the Fourier transform convention , choose a real even function equal to one on and zero outside , and put
Such a cutoff is explicit: if for and zero otherwise, take . It is constant near zero, and its endpoint transitions are smooth. Repeated integration by parts shows that and all its derivatives decay faster than every power, so lies in the Schwartz space. The Fourier inversion and moment differentiation of the Fourier transform give
Thus this kernel can be used with for the preceding general bound.
For the sharper example choose the probability density function
To check this is a density and identify its Fourier transform, direct integration gives
The continuous value at zero is as displayed. This function is nonnegative and integrable, being bounded near zero and at infinity. Fourier inversion gives , and in particular . Differentiation of this compact frequency integral also shows that and are bounded. Since on the support of , the convolution theorem gives
Both sides are continuous, so the equality holds at every . There is therefore exactly zero bias of a kernel density estimator at bandwidth one, and the variance bound above gives
This is parametric-rate kernel estimation of a bandlimited density. A fixed bandwidth is appropriate because it reproduces this particular density exactly; a generic density would retain a nonzero smoothing bias.
For a prime , the divisor sum defining the real weight is . If , the second term vanishes and the first is one. Thus , while for every integer because is real and the sum is squared.
Put . With the Fourier transform convention in the question, Fourier inversion gives
The function is smooth and has compact support. Using integration by parts times, with zero endpoint terms, proves
Choose an integer to obtain for . In particular every polynomially weighted absolute integral of is finite.
For the double integral, use
Differentiating the second formula gives . absolute convergence from the rapid decay permits Fubini's theorem. The derivative energy constant for a smooth sieve cutoff is therefore
There is no complex conjugate in this integral: the two factors both become , which is real. The constant is positive; in fact the Cauchy-Schwarz inequality applied to gives .
Here is the basic structure of the smooth divisor-square sieve asymptotic, with enough uniform estimates to specify the error. Write and . Expand the square and count multiples of the least common multiple in an arbitrary interval of length :
The sum is effectively restricted to . Each count is , independent of the interval's position, so the total error is .
The Fourier representation of a smooth Selberg weight reads
Hence, with ,
The four local terms correspond to the prime dividing neither divisor, only the first, only the second, or both. This is the Euler product for a smoothed divisor-square correlation. Factor it as
where
The local factors of are when for small fixed . Thus is a holomorphic function near , and evaluating each local factor at zero gives exactly one. Consequently and there.
The pole expansion now yields
when . Integrating the error against the rapidly decreasing transforms gives . The complementary tails are harmless uniformly: absolute values in the original divisor series give
Any prescribed power decay of is available, so these tails and the tails of the limiting kernel are after choosing sufficiently many applications of integration by parts. The same absolute bound justifies the original exchanges of infinite sums and integrals. Using the evaluated double integral,
We conclude, uniformly over all interval locations,
This proof does not assume that the interval starts near the origin.
Finally choose this one fixed smooth cutoff. primes above in contribute one each to the nonnegative weight, and at most primes lie below . Therefore
for all sufficiently large , uniformly in . The bounded range follows by increasing the fixed constant and using the trivial interval bound . Thus the short-interval prime upper bound from a smooth divisor weight is
Use the usual probability-kernel convention: , , and , in addition to symmetry and compact support. These conditions are needed for the stated finite bound; symmetry and compact support by themselves do not impose normalization or nonnegativity. Interpret the differentiability assumption in the usual Sobolev space sense , or assume classical regularity sufficient for the integral Taylor remainder. The kernel density estimator is
The bias-variance decomposition of mean squared error, followed by Tonelli theorem, yields
Independence and a change of variables give the exact integrated variance of a kernel density estimator
All changes of integration order are justified either by nonnegativity or by the displayed finite integrals.
For the bias of a kernel density estimator, symmetry gives . Taylor's integral remainder, with translations understood in , gives
The Minkowski inequality and translation invariance of the L2 norm imply
where . Consequently we obtain the slightly stronger conclusion
Since , this proves the requested bound. For signed kernels, the same argument has in place of ; the printed bound is not generally justified merely by signed-kernel symmetry. For example, let and . This symmetric compactly supported signed kernel has integral one and , but its fourth moment is nonzero. For a normal density its convolution has nonzero bias at any fixed positive bandwidth. Sending would therefore contradict a bound containing only the integrated variance term.
Writing the requested bound as , differentiation gives when . Thus gives mean integrated squared error of order . With the sharper constant one instead has ; the rate is identical.
A direct heuristic for is to choose a twice differentiable pilot kernel , estimate by the second derivative kernel density estimator
and integrate its square. Its integrated variance contains a diagonal term , which should not be mistaken for the target. A useful corrected U-statistic removes that diagonal:
Its expectation is . Thus smoothing bias of an estimator, rather than the diagonal contribution, remains. For a smooth compactly supported probability pilot kernel, the same variance calculation gives
The second term tends to zero because convolution with a shrinking probability kernel approximates every function. Thus and make the raw squared pilot estimate consistent for the quadratic density derivative functional. If , then
so the diagonal-corrected U-statistic is consistent under the same choice. Consistency already uses the assumed ; the additional third-derivative hypothesis is relevant to more ambitious rate heuristics.
Three bounded continuous derivatives do not justify a general root- estimation rate for . For a smooth perturbation with compact support, the directional derivative is
where the last expression requires a fourth derivative in the appropriate weak sense. A regular root- argument would need an influence function proportional to , with finite variance under . Three derivatives do not supply that condition.
For a more quantitative heuristic, impose the additional assumption , use a smooth Fourier cutoff of width , and estimate the quadratic functional by its off-diagonal U-statistic. The tail bias of an estimator is because the Plancherel theorem weights this functional by frequency to the fourth power. The degenerate part of its standard deviation is : the squared norm of the quadratic kernel scales as . At , these two terms balance at and have size , already slower than ; any additional first-order variance cannot improve that balance. To make both terms requires and , which are compatible only when . This is an illustrative smoothness calculation under extra Sobolev and moment assumptions, not a rate theorem asserted solely from bounded third derivatives. Particular much smoother probability density functions may of course permit root- estimation.
The chain rule gives along each characteristic curve. Pulling the initial datum back by the inverse characteristic flow map therefore gives
Direct differentiation also gives , so this is a classical solution of the transport equation. Composition with a smooth function makes smooth jointly in ; nonnegative initial data remain nonnegative.
If , then . A continuous image of a compact set is compact. Thus compact support is preserved at every finite time; there is no claim of one fixed compact support for all .
For two solutions with the same initial datum, let . Their uniform compact support on puts and in one compact region of phase space. Smoothness there implies that is finite and continuously differentiable, by differentiation under the integral sign. The transport equation and integration by parts in yield
There is no boundary contribution because of compact support, and . Since , almost everywhere and then everywhere by continuity. The solution is unique in . The same calculation gives Lp conservation for incompressible transport at .
The displayed estimate has two independent defects. Even for , its right side cannot use . At , choose nonnegative smooth functions with compact support and prescribe . This is a legitimate transported solution with . The proposed inequality would require
Velocity dilation makes arbitrarily large, while the other factors stay fixed. Thus no universal works with the same-time mixed Lebesgue norm.
There is a second issue after replacing by : the Jacobian determinant bounds give a local diffeomorphism, not necessarily a one-to-one map. Suppose additionally that is injective. With , the change of variables formula and give
Surjectivity is not needed because the domain of integration can be enlarged. With injectivity, the corrected estimate has . The upper bound is unnecessary.
More generally, dispersion with a nonlinear velocity map uses the area formula to sum over inverse branches. Define the weighted inverse multiplicity
If , the same argument gives the corrected estimate with . At most inverse branches give . Thus the missing global assumption concerns multiplicity, not merely local volume distortion.
For a noninjective map with constant Jacobian determinant giving a counterexample in two dimensions, write and set
The polar coordinates calculation gives , yet for every integer . To turn this into a failure of the estimate, take a small open disk about that avoids the origin. For each of inverse branches over , choose a smooth cutoff supported on that branch, where has support strictly inside and is extended by zero. These velocity supports are disjoint. Set
Then , independent of , whereas at a fixed and suitable ,
The last integral is positive and independent of . No finite exists for this fixed , although . In one dimension, by contrast, a nonvanishing derivative has a constant sign, so the lower derivative bound makes a global diffeomorphism.